- Research, develop, and implement state-of-the-art techniques in the field of Large Language Models (LLM) and Generative AI.
- Collaborate with cross-functional teams to design and execute projects that leverage LLMs for various applications, such as text generation, summarization, translation, and more.
- Stay up-to-date with the latest advancements in AI, machine learning, and generative models, and apply this knowledge to enhance existing models and methodologies.
- Analyze and fine-tune model performance through experimentation, iteration, and data-driven insights.
- Provide technical leadership and mentorship to junior team members, fostering a culture of innovation and continuous learning.
- Contribute to research publications, whitepapers, and presentations to showcase the organization's expertise in the field.
- Collaborate with product teams to integrate AI solutions into real-world applications and platforms.
Requirements
- 8+ years impactful experience in Al-relevant fields, such as machine learning, deep learning, multi-agent systems, planning, and large language models.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
- Proven expertise in working with Large Language Models, particularly GPT (Generative Pre-trained Transformer) variants.
- Strong understanding of generative models, deep learning, and natural language processing techniques.
- Demonstrated ability to drive research projects from ideation to implementation, producing tangible outcomes.
- Excellent problem-solving skills and a creative mindset to address complex AI challenges.
- Strong communication skills to effectively collaborate with both technical and non-technical stakeholders.
- Published research papers or contributions to the AI community would be a significant plus.
- Experience with deploying AI models into production environments is desirable.
Originally posted on Himalayas
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